@InProceedings{TorrećoPimeRoe:1993:ObSuCu,
author = "Torre{\~a}o, Jos{\'e} Ricardo de Almeida and Pimentel,
Cec{\'{\i}}lio Jos{\'e} Lins and Roe, Edward",
affiliation = "{Departamento de Inform{\'a}tica da Universidade Federal de
Pernambuco (UFPE)} and {Departamento de Inform{\'a}tica da
Universidade Federal de Pernambuco (UFPE)} and {Departamento de
Inform{\'a}tica da Universidade Federal de Pernambuco (UFPE)}",
title = "Obtaining surface curvature and depth information with a
disparity-based photometric stereo",
booktitle = "Anais...",
year = "1993",
editor = "Figueiredo, Luiz Henrique de and Gomes, Jonas de Miranda",
pages = "239--246",
organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e
Processamento de Imagens, 6. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "Disparity-Based Photometric Stereo, computer vision, photometric
images.",
abstract = "Disparity-Based Photometric Stereo (DBPS) is a recently introduced
Computer Vision process which extracts a disparity field from two
or more photometric stereo images by tracking the displacement of
pixel intensities resulting from the change in the illumination of
the observed scene. Such photometric-disparity field is akin to
the disparity field due to the change of viewing position in
Stereoscopy, and can be obtained through essentially the same
stereo correspondence algorithms. In the present article, we
relate the photometric-disparity field to the curvature of the
imaged surfaces, and also show how it can be used for the
inference of depth through a new version of the Dual Photometric
Stereo process, which employs two cameras and multiple
illuminations. We illustrate our approach with a neural net
simulation of the stereo correspondence algorithms.",
conference-location = "Recife, PE, Brazil",
conference-year = "19-22 Oct. 1993",
isbn = "978-85-7669-271-3",
language = "en",
ibi = "8JMKD3MGPBW34M/3D85HNS",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3D85HNS",
targetfile = "28 Obtaining surface curvature.pdf",
type = "Vis{\~a}o por Computador",
volume = "1",
urlaccessdate = "2024, Apr. 28"
}